Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM

Neurocomputing

Volumn 71, Issue 16-18, 2008, Pages 3675-3679

  Sun, Jiancheng ^a,b   Zheng, Chongxun ^a   Zhou, Yatong ^c   Bai, Yaohui ^b   Luo, Jianguo ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c HEBEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Chaotic time series; Noise reduction; Support vector machine

Indexed keywords

ACOUSTIC NOISE MEASUREMENT; CHAOS THEORY; CURVE FITTING; GEARS; IMAGE RETRIEVAL; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; NEURAL NETWORKS; PHASE SPACE METHODS; RESEARCH AIRCRAFT; SUPPORT VECTOR MACHINES; TIME SERIES ANALYSIS; TWO PHASE FLOW; VECTORS;

CHAOTIC TIME SERIES; DIMENSIONAL PHASE SPACES; EMBEDDING PHASE SPACES; FUNCTION APPROXIMATIONS; IKEDA MAPS; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI-DIMENSIONAL; NOISE REDUCTION; NOISE REDUCTIONS; NONLINEAR NOISE REDUCTIONS; NOVEL METHODS; PHASE THEORIES; RECURRENT LEAST SQUARES SUPPORT VECTOR MACHINES; SUPPORT VECTOR MACHINE;

CHAOTIC SYSTEMS;

ACCURACY; ALGORITHM; CHAOTIC DYNAMICS; CONFERENCE PAPER; MATHEMATICAL ANALYSIS; NOISE REDUCTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIMULATION; SUPPORT VECTOR MACHINE; THEORY; TIME SERIES ANALYSIS;

EID: 56549129567     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.02.006     Document Type: Conference Paper

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